Print Email Facebook Twitter LOTOS-EUROS air quality simulations over China Title LOTOS-EUROS air quality simulations over China Author Timmermans, R. Kranenburg, R. Zeng, L. Wang, L. Bai, J. Schaap, M. Publication year 2018 Abstract China is suffering from high levels of air pollution due to the large increase of economic activities within recent years in combination with the large number of people living in China's megacities. The main impact on the health of the inhabitants is attributed to the high levels of particulate matter (PM). It is therefore crucial to have knowledge on the main sources of the PM pollution events. This knowledge will allow mitigation strategies for reduction of PM. In this contribution we present some results from the application of a source apportionment tool coupled to the LOTOS-EUROS model. The work is performed within the framework of the EU-FP7 project Marcopolo, a joint collaboration between Chinese and European partners. In this contribution we will show the potential of the source apportionment study to identify the main source sectors and regions responsible for PM pollution episodes in Beijing. We will additionally show some evaluation of the performance of the model. The model is underestimating the PM levels in winter a.o. due to missing sources and change physics/chemistry in high pollution and/or humidity cases. © Springer International Publishing AG 2018. Subject Environment & SustainabilityEnvironmentUrbanisation To reference this document use: http://resolver.tudelft.nl/uuid:35d367b7-c06f-4eb6-ac7b-a345f584ace0 DOI https://doi.org/10.1007/978-3-319-57645-9_66/ TNO identifier 861894 Publisher Springer ISSN 2213-8684 Source Springer Proceedings in Complexity, 421-425 Document type bookPart Files To receive the publication files, please send an e-mail request to TNO Library.